Added _contract_iter3 utility to simplify iteration space over 3 arrays #1044
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View rendered docs @ https://intelpython.github.io/dpctl/pulls/1044/index.html |
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Array API standard conformance tests for dpctl=0.14.1dev1=py310h76be34b_31 ran successfully. |
``` In [1]: import dpctl.tensor as dpt, dpctl.tensor._tensor_impl as ti, dpctl In [4]: import itertools In [5]: ti._contract_iter2((2, 5, 3), (15, -3, 1), (0,0,1)) Out[5]: ([10, 3], [3, 1], -12, [0, 1], 0) In [6]: or_s = set( (15*i0 - 3*i1 + i2, i2, 15*i0 - 3*i1 + i2) for i0,i1,i2 in itertools.product(range(2), range(5), range(3)) ) In [7]: alt_s = set( (3*i0 + i1 - 12, i1, 3*i0 + i1 - 12) for i0,i1 in itertools.product(range(10), range(3)) ) In [8]: or_s == alt_s Out[8]: True ```
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Array API standard conformance tests for dpctl=0.14.1dev1=py310h76be34b_31 ran successfully. |
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Deleted rendered PR docs from intelpython.github.com/dpctl, latest should be updated shortly. 🤞 |
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Array API standard conformance tests for dpctl=0.14.1dev1=py310h76be34b_45 ran successfully. |
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Added
dpctl.tensor._tensor_impl._contract_iter3utility to simplify iteration space over indices of 3 arrays with the same shape, but possibly different strides.This utility is going to be useful in implementation of binary functions,
_binary_func( in1, in2, out), example of which isout = in1 + in2.